Electronic tongues to assess wine sensory descriptors

This work reports the application of an electronic tongue as a tool towards the analysis of wine in tasks such as its discrimination based on the maturing in barrels or the prediction of the global scores assigned by a sensory panel. To this aim, red wine samples were first analysed with the voltamm...

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Detalles Bibliográficos
Autores: Cetó, Xavier|||0000-0003-1589-6076, González-Calabuig, Andreu|||0000-0002-6325-138X, Crespo, Nora, Pérez Rafael, Sandra|||0000-0002-6411-0861, Capdevila Mestres, Josefa, Puig-Pujol, Anna, Valle, Manel del|||0000-0002-1032-8611
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:271561
Acceso en línea:https://ddd.uab.cat/record/271561
https://dx.doi.org/urn:doi:10.1016/j.talanta.2016.09.055
Access Level:acceso abierto
Palabra clave:Ageing
Electronic tongue
Partial least squares regression
Sensory panel
Voltammetric sensors
Wine
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spelling Electronic tongues to assess wine sensory descriptorsCetó, Xavier|||0000-0003-1589-6076González-Calabuig, Andreu|||0000-0002-6325-138XCrespo, NoraPérez Rafael, Sandra|||0000-0002-6411-0861Capdevila Mestres, JosefaPuig-Pujol, AnnaValle, Manel del|||0000-0002-1032-8611AgeingElectronic tonguePartial least squares regressionSensory panelVoltammetric sensorsWineThis work reports the application of an electronic tongue as a tool towards the analysis of wine in tasks such as its discrimination based on the maturing in barrels or the prediction of the global scores assigned by a sensory panel. To this aim, red wine samples were first analysed with the voltammetric sensor array, without performing any sample pretreatment. Afterwards, obtained responses were preprocessed employing fast Fourier transform (FFT) for the compression and reduction of signal complexity, and obtained coefficients were then used as inputs to build the qualitative and quantitative models employing either linear discriminant analysis (LDA) or partial least squares regression (PLS), respectively. Satisfactory results were obtained overall, with a classification rate of 100% in the discrimination of the type of barrel used during wine maturing, a normalized NRMSE of 0.077 in the estimation of ageing time (months) or 0.11 in the prediction of the scores (0-10) from a trained sensory panel (all for the external test subset). 22017-01-0120172017-01-01Articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/271561https://dx.doi.org/urn:doi:10.1016/j.talanta.2016.09.055reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengMinisterio de Economía y Competitividad https://doi.org/10.13039/501100003329 CTQ2013-41577-Popen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2715612026-06-06T12:50:31Z
dc.title.none.fl_str_mv Electronic tongues to assess wine sensory descriptors
title Electronic tongues to assess wine sensory descriptors
spellingShingle Electronic tongues to assess wine sensory descriptors
Cetó, Xavier|||0000-0003-1589-6076
Ageing
Electronic tongue
Partial least squares regression
Sensory panel
Voltammetric sensors
Wine
title_short Electronic tongues to assess wine sensory descriptors
title_full Electronic tongues to assess wine sensory descriptors
title_fullStr Electronic tongues to assess wine sensory descriptors
title_full_unstemmed Electronic tongues to assess wine sensory descriptors
title_sort Electronic tongues to assess wine sensory descriptors
dc.creator.none.fl_str_mv Cetó, Xavier|||0000-0003-1589-6076
González-Calabuig, Andreu|||0000-0002-6325-138X
Crespo, Nora
Pérez Rafael, Sandra|||0000-0002-6411-0861
Capdevila Mestres, Josefa
Puig-Pujol, Anna
Valle, Manel del|||0000-0002-1032-8611
author Cetó, Xavier|||0000-0003-1589-6076
author_facet Cetó, Xavier|||0000-0003-1589-6076
González-Calabuig, Andreu|||0000-0002-6325-138X
Crespo, Nora
Pérez Rafael, Sandra|||0000-0002-6411-0861
Capdevila Mestres, Josefa
Puig-Pujol, Anna
Valle, Manel del|||0000-0002-1032-8611
author_role author
author2 González-Calabuig, Andreu|||0000-0002-6325-138X
Crespo, Nora
Pérez Rafael, Sandra|||0000-0002-6411-0861
Capdevila Mestres, Josefa
Puig-Pujol, Anna
Valle, Manel del|||0000-0002-1032-8611
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Ageing
Electronic tongue
Partial least squares regression
Sensory panel
Voltammetric sensors
Wine
topic Ageing
Electronic tongue
Partial least squares regression
Sensory panel
Voltammetric sensors
Wine
description This work reports the application of an electronic tongue as a tool towards the analysis of wine in tasks such as its discrimination based on the maturing in barrels or the prediction of the global scores assigned by a sensory panel. To this aim, red wine samples were first analysed with the voltammetric sensor array, without performing any sample pretreatment. Afterwards, obtained responses were preprocessed employing fast Fourier transform (FFT) for the compression and reduction of signal complexity, and obtained coefficients were then used as inputs to build the qualitative and quantitative models employing either linear discriminant analysis (LDA) or partial least squares regression (PLS), respectively. Satisfactory results were obtained overall, with a classification rate of 100% in the discrimination of the type of barrel used during wine maturing, a normalized NRMSE of 0.077 in the estimation of ageing time (months) or 0.11 in the prediction of the scores (0-10) from a trained sensory panel (all for the external test subset).
publishDate 2017
dc.date.none.fl_str_mv 2
2017-01-01
2017
2017-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/271561
https://dx.doi.org/urn:doi:10.1016/j.talanta.2016.09.055
url https://ddd.uab.cat/record/271561
https://dx.doi.org/urn:doi:10.1016/j.talanta.2016.09.055
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Economía y Competitividad https://doi.org/10.13039/501100003329 CTQ2013-41577-P
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
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collection Dipòsit Digital de Documents de la UAB
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